Effect of Optimizer Selection and Hyperparameter Tuning on Training Efficiency and LLM Performance
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Apr 16, 2025 - Python
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rmsprop-optimizer
Here are 10 public repositories matching this topic...
This repository contains code for the PhD thesis: "A Study of Self-training Variants for Semi-supervised Image Classification" and publications.
tensorflow cnn mnist semi-supervised-learning self-training svhn vgg16 cifar10 triplet-loss fashion-mnist sgd-optimizer contrastive-loss cross-entropy-loss self-supervised-learning arcface-loss plantvillage-dataset rmsprop-optimizer wrn-28-2
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Sep 15, 2023 - Python
This project focuses on land use and land cover classification using Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The classification task aims to predict the category of land based on satellite or aerial images.
machine-learning deep-learning tensorflow optimizer python3 artificial-intelligence supervised-learning rnn adagrad adam-optimizer cnn-classification sgd-optimizer nadam lulc-classification rmsprop-optimizer
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Jun 28, 2024 - Python
Lightweight neural network library written in ANSI-C supporting prediction and backpropagation for Convolutional- and Fully Connected neural networks
neural-network image-classification convolutional-neural-network backpropagation adagrad fully-connected-network sigmoid tanh leaky-relu adam-optimizer categorical-cross-entropy softmax-layer relu-layer sgd-optimizer mean-square-error momentum-optimization-algorithm softsign glorot-uniform rmsprop-optimizer
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Feb 24, 2025 - C
Artificial neural network package written in python
numpy neural-networks mnist-classification neural xor adam-optimizer sgd-optimizer neural-networks-from-scratch rmsprop-optimizer
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Jun 12, 2024 - Python
This is a Research of Various Optimization Algorithms that are used in ML and DL which is implemented on the 2 types of Dataset(Banglore_Housing & TSP)
machine-learning deep-learning genetic-algorithm evolutionary-algorithms momentum stochastic-gradient-descent adamoptimizer gradientdescentoptimizer batchgradientdescent minibatch-gradient-descent rmsprop-optimizer secondorderoptimization
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Aug 28, 2024 - Jupyter Notebook
This repository contains benchmarking and comparison of the FFNN, RNN, and CNN on sequential and image data, alongwith using different optimizers for analyzing performance.
deep-learning neural-network tensorflow vscode cnn rnn adam-optimizer sgd-optimizer ffnn rmsprop-optimizer
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May 19, 2025 - Jupyter Notebook
A fully vectorized Deep Neural Network (DNN) implementation built from scratch using only NumPy - no deep learning frameworks involved. Covers forward/backward propagation, activation functions, modular architecture, and training with different optimizers - a hands-on deep dive into the fundamentals of deep learning.
machine-learning ai deep-learning neural-network gradient-descent vectorization backpropagation adam-optimizer deep-learning-from-scratch momentum-optimization-algorithm rmsprop-optimizer
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Jun 30, 2025 - Jupyter Notebook
C++/CUDA library for manipulating 2D parametric B-splines
splines newton-raphson parametric-curves rmsprop-optimizer intersecting-curves curves-closest-points splines-intersection cuda-implementation
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Mar 11, 2025 - C++
ECE-666: Applied Optimization methods for Machine Learning. This repository contains PyTorch implementations for a variety of recent optimization algorithms in deep learning.
machine-learning-algorithms gradient-descent optimization-algorithms adam-optimizer sgd-optimizer adamw-optimizer rmsprop-optimizer learningrate
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May 1, 2025 - Jupyter Notebook
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